Motives, beliefs and attitudes towards waterpipe tobacco smoking: a systematic review
Bibliographic record
Abstract
BACKGROUND: In spite of the negative health effects of waterpipe tobacco smoking, its use is becoming more common. The objective of this study is to systematically review the medical literature for motives, beliefs and attitudes towards waterpipe tobacco smoking. METHODS: We electronically searched MEDLINE, EMBASE, and the ISI the Web of Science in January 2012. We included both quantitative and qualitative studies. We selected studies and abstracted data using standard systematic review methodology. We synthesized data qualitatively. RESULTS: We included 58 papers reporting on 56 studies. The main motives for waterpipe tobacco smoking were socializing, relaxation, pleasure and entertainment. Peer pressure, fashion, and curiosity were additional motives for university and school students while expression of cultural identity was an additional motive for people in the Middle East and for people of Middle Eastern descent in Western countries. Awareness of the potential health hazards of waterpipe smoking was common across settings. Most but not all studies found that the majority of people perceived waterpipe smoking as less harmful than cigarette smoking. Waterpipe smoking was generally socially acceptable and more acceptable than cigarette smoking in general. In Middle Eastern societies, it was particularly more acceptable for women's use compared to cigarette use. A majority perceived waterpipe smoking as less addictive than cigarette smoking. While users were confident in their ability to quit waterpipe smoking at any time, willingness to quit varied across settings. CONCLUSIONS: Socializing, relaxation, pleasure and entertainment were the main motives for waterpipe use. While waterpipe users were aware of the health hazards of waterpipe smoking, they perceived it as less harmful, less addictive and more socially acceptable than cigarette smoking and were confident about their ability to quit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".